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Population Size Estimates for the Endangered Iowa Pleistocene Snail, Discus Macclintocki Baker

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Population Size Estimates for the Endangered Iowa Pleistocene Snail, Discus Macclintocki Baker Journal of the Iowa Academy of Science: JIAS Volume 107 Number Article 4 2000 Population Size Estimates for the Endangered Iowa Pleistocene Snail, Discus macclintocki Baker Tama K. Anderson Iowa State University Let us know how access to this document benefits ouy Copyright © Copyright 2000 by the Iowa Academy of Science, Inc. Follow this and additional works at: https://scholarworks.uni.edu/jias Part of the Anthropology Commons, Life Sciences Commons, Physical Sciences and Mathematics Commons, and the Science and Mathematics Education Commons Recommended Citation Anderson, Tama K. (2000) "Population Size Estimates for the Endangered Iowa Pleistocene Snail, Discus macclintocki Baker," Journal of the Iowa Academy of Science: JIAS, 107(2), 34-41. Available at: https://scholarworks.uni.edu/jias/vol107/iss2/4 This Research is brought to you for free and open access by the Iowa Academy of Science at UNI ScholarWorks. It has been accepted for inclusion in Journal of the Iowa Academy of Science: JIAS by an authorized editor of UNI ScholarWorks. For more information, please contact [email protected]. Jour. Iowa Acad. Sci. 107(2):34-41, 2000 Population Size Estimates for the Endangered Iowa Pleistocene Snail, Discus macclintocki Baker TAMARA K. ANDERSON 1 Ecology & Evolutionary Biology Program, Iowa State University, Ames, Iowa 50011 Discus macclintocki Baker, the Iowa Pleistocene snail, is a federally endangered species found only on algific talus slopes in northeastern Iowa and northwestern Illinois. Population size estimates for fourteen D. macclintocki populations in Iowa and Illinois ranged from 182 to 22,125 individuals. Estimates from the program CAPTURE as well as Bayesian estimation procedures gave similar results, although the Bayesian method allowed estimation of populations that could not be estimated with CAPTURE due to small sample sizes. A comparison of two methods of sampling, visual counts of quadrats and cover boards, showed that using cover boards resulted in much higher probabilities of capture and more recaptures. Snail activity was highly variable over time and space, making precise estimation difficult. Several populations are much larger than previously thought, although it is not clear whether this is due to bias in previous sampling methods or actual increases in populations since the previous estimates were made. INDEX DESCRIPTORS: snail, population estimation, algific slopes, Discus macclintocki, endangered species, Iowa Pleistocene snail. Discus macclintocki is a glacial relict species found only on algific to avoid mossy areas and areas covered by yews, which are common (cold-air) talus slopes in northeastern Iowa and northwestern Illinois on these slopes (Solem 1976, Frest 1981). These preferences make and nowhere else on earth. These snails are small (5 to 8 mm in for an extremely uneven distribution of individuals on the algific diameter) and either brown or olive in color. Due to their size, col­ area. The portions of the slopes with cold-air drainage are themselves oration, and the nature of their habitat, they are difficult to sample. often small and separated, so distribution over the whole slope is Baker ( 1928) first described this species from fossils, but it was not distinctly patchy. until a scientist discovered Shimek's notes in a museum regarding Studying population dynamics of terrestrial snails presents a chal­ live specimens that anyone realized the species might not be extinct lenge to malacologists. The difficulties include: extreme variability (Pilsbry 1948). Hubricht (1955) rediscovered a live population in in microhabitat (and therefore species density) from quadrat to quad­ Iowa which eventually renewed interest in the species. Afrer exten­ rat, low densities, and little movement between sampling times sive searches (Frest 1981-1987), just over thirty populations are (Goodhart 1962, Ausden 1996). Malacologists have used a variety known to exist today, all located in a unique type of habitat called of sampling methods in their studies including transects (Goodhart algific talus slopes. Largely because of the rarity of their habitat, D. 1962), grab samples (Van Es and Boag 1981, Locasciulli and Boag macclintocki was declared endangered in 1977, and is currently in­ 1987), wooden cover boards (Leonard 1959, Boag 1982, Ostlie 1992, cluded on both the Iowa (State of Iowa 1988) and the United States 1993), and, the most common method, visual searching of a grid or Endangered Species lists (U.S. Fish and Wildlife Service 1993). The quadrat (Cain and Currey 1968, Williamson et al. 1977, Cowie need for conservation and management plans for this species makes 1984, Baur and Baur 1990). However, factors such as night-time estimates of population sizes especially important. movements, very slow dispersal rates, and excellent camouflage make Algific talus slopes consist of loose, porous rock with underlying visual location difficult (Tomiyama and Nakane 1993). Multiple ap­ deposits of ice. Cold-air currents circulating through the slopes keep proaches are rarely used in the same malacological study, so com­ the talus cool. The temperatures on these slopes stay much cooler parisons of population size estimates from different methods can be and more consistent than surrounding areas throughout the summer. difficult (although see Williamson et al. 1977, Kuznik 1997, Oggier In one year, air temperatures measured at ground level on the talus et al. 1998). of one slope ranged from 3 ro 9°C year-round, whereas ground tem­ No papers have been published on the census of Discus macclintocki peratures off-slope measured -1 to + 27°C (Solem 1976). D. mac­ and most of the previous information is found only in progress re­ clintocki have a limited temperature tolerance (Frest 1981), so the ports. Population sizes for most populations of D. macdintocki were restricted temperatures on these slopes are important for the survival previously estimated by extrapolating from their densities in grab of this species. samples taken as part of studies which surveyed the snail community The cool air flows out of the talus at vents arranged haphazardly in the early 1980s (Frest 1981-1987). Due to the extreme patchiness along the slope, depending on the underlying openings in the rock. of the areas where snails are found, estimates from grab samples are The snails are found in areas with suitable temperature, moisture, difficult to replicate. In addition, grab sampling is not desirable in and vegetation, and are active at the surface where they feed and the algific talus habitats where removing talus can destabalize the mate. They prefer vegetation consisting of deciduous leaves, and tend slope, causing minor rockslides or compacting the soil and poten­ tially killing many of the snails or destroying valuable habitat (Ostlie 1 Current address: 1627 S. Summit, Newcastle, Wyoming 82701. 1993). [email protected] In 1992, Wallendorf and Clark conducted a mark-recapture study DISCUS MACCLINTOCKI POPULATION SIZES 35 of one population using basswood (Tilia americana) cover boards (Deutsch and Journel 1992). On each sampling occasion, I counted placed on the surface of the algific slopes as "trapping stations". One new individuals and recaptures. Locations of the recaptured individ­ advantage of this method is the ease with which snails can be viewed uals were noted and compared to the locations of the previous capture as they collect on the underside of the boards. The boards provide to determine the amount of movement occurring within the popu­ an attractive microhabitat for the snails, keeping them at the surface. lations. However, this method is labor intensive, since large numbers of For each slope, I measured the minimum area which included all boards must be hauled to these steep slopes. In addition, some evi­ of the sampling quadrats. Due to the geometrical arrangement of dence suggests that leaving boards on the slopes for extended periods the sampling quadrats and the unique structure of each slope, the of time reduces the snail populations under the boards (Wallendorf sampled areas are not the same on each slope. I also estimated the and Clark 1992). total algific area (i.e., potential snail habitat) on the slopes by mea­ To combat these problems, I used quadrat sampling, where work­ suring what appeared visually to be habitat of similar structure to ers visually searched each sampling plot for snails. This method elim­ that where the snails were sampled. Estimates were made of areas inated potential bias and habitat disturbance from the boards. In where direct measure was not possible (i.e. cliff faces). Dry areas or addition, I used cover boards on a subset of slopes ro determine areas with undesirable vegetation were not included as total habitat differences in the effectiveness of the two methods. available. If the snails are able to use these areas as well, the total Sampling difficulties also affect the model used to obtain a pop­ population estimates would be underestimates. On two slopes (207 ulation estimate. Snails and other invertebrates are sensitive to cli­ and 246) where I had not made measurements of total available mactic variables, so their capture probability is not constant (Ausden habitat, I used estimates by Frest (1985a, 1985b). 1996). The population estimation method used must take this into The data were compiled and analyzed using the program CAP­ account. The program CAPTURE (White et al. 1978) includes a TURE (White et al. 1978). CAPTURE uses the probability of re­ variety of models in which capture probability can vary over time, capturing marked individuals to estimate the total population size habitat, and individuals' behavior. However, large sample sizes are over the area sampled under a maximum likelihood model (White needed in order to get precise estimates (Otis et al. 1978). An al­ et al. 1978). Depending on the model chosen, the trapping proba­ ternative method of population estimation which does not require bility can be estimated as constant over the entire sampling period large numbers of recaptures is to use prior probabilities (from earlier (null model) or variable.
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